Evidence map›Paper›PMID 40474262›Full record

ArticleBiomedical engineering online2025

Effects of the lumbar support function of wearable robot (Bot Fit) on sitting position.

Jang-Hoon Shin, Hyunmuk Lim, Naeun Byeon, Dokwan Lee, Hwang-Jae Lee, Wan-Hee Lee

Abstract read
In one paragraph

Article in Biomedical engineering online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jang-Hoon ShinIndustry-Academy Cooperation Foundation, Sahmyook University, Seoul, 01795, Republic of Korea.
Hyunmuk LimApplied Physical Therapy Lab, Department of Physical Therapy, College of Future Convergence, Sahmyook University, Seoul, 01795, Republic of Korea.
Naeun ByeonApplied Physical Therapy Lab, Department of Physical Therapy, College of Future Convergence, Sahmyook University, Seoul, 01795, Republic of Korea.
Dokwan LeeBot Fit T/F, New Business T/F, Samsung Electronics, Suwon, 16677, Republic of Korea.
Hwang-Jae LeeBot Fit T/F, New Business T/F, Samsung Electronics, Suwon, 16677, Republic of Korea. hwangjae.lee@samsung.com.
Wan-Hee LeeApplied Physical Therapy Lab, Department of Physical Therapy, College of Future Convergence, Sahmyook University, Seoul, 01795, Republic of Korea. whlee@syu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedentary lifestyles can lead to musculoskeletal disorders, but proper sitting posture, particularly maintaining a slight anterior pelvic tilt, helps prevent issues like lower back pain and spinal misalignment. Samsung Electronics wearable robot 'Bot Fit' improves posture by enhancing core muscle tension, reducing trapezius muscle tension, and improving spinal alignment, which can alleviate pain and improve overall musculoskeletal health.

objectiveThis study was conducted to evaluate the effectiveness of Samsung's wearable robot, 'Bot Fit', in promoting proper sitting posture.

methodsThis study involved 37 participants, including healthy adults, elderly individuals. Participants were evaluated under two conditions, with and without the Bot Fit device, while seated on a Bobath table. Muscle tension, spinal angles, sitting height, and gluteal pressure distribution were measured under both conditions, and statistical analysis was conducted using paired t-tests with a significance level of p = 0.05.

resultsParticipants showed a significant increase in sitting height and rectus abdominis muscle tone, while upper trapezius muscle tone significantly decreased (p < 0.05). Additionally, hip pressure increased across all regions, and pressure differences between the left and right hips decreased significantly (p < 0.01).

conclusionWearing the Bot Fit with its posture correction function improved muscle tone and sitting posture in adults and the elderly, potentially helping to prevent secondary musculoskeletal disorders from poor posture. Future research should explore the optimal torque settings of the Bot Fit based on individual factors like weight and gender.

Indexed as

Lumbar VertebraeLumbosacral RegionRoboticsSitting PositionWearable Electronic DevicesAdultAgedFemaleHumansMaleMiddle AgedPosturePressureBody alignmentMusculoskeletal systemPelvisRoboticsSitting position

Identifiers

PMID40474262
PMCPMC12139266

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.